134 research outputs found

    Constraint Programming for Multi-criteria Conceptual Clustering

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    International audienceA conceptual clustering is a set of formal concepts (i.e., closed itemsets) that defines a partition of a set of transactions. Finding a conceptual clustering is an N P-complete problem for which Constraint Programming (CP) and Integer Linear Programming (ILP) approaches have been recently proposed. We introduce new CP models to solve this problem: a pure CP model that uses set constraints, and an hybrid model that uses a data mining tool to extract formal concepts in a preprocessing step and then uses CP to select a subset of formal concepts that defines a partition. We compare our new models with recent CP and ILP approaches on classical machine learning instances. We also introduce a new set of instances coming from a real application case, which aims at extracting setting concepts from an Enterprise Resource Planning (ERP) software. We consider two classic criteria to optimize, i.e., the frequency and the size. We show that these criteria lead to extreme solutions with either very few small formal concepts or many large formal concepts, and that compromise clusterings may be obtained by computing the Pareto front of non dominated clusterings

    Analyzing power measurements in high‐P2∥ p‐p elastic scattering

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    The analyzing power in 28 GeV/c proton/proton elastic scattering was measured at P2∥=5.95 and 6.56 (GeV/c)2 using a polarized proton target and an unpolarized proton beam at the Brookhaven National Laboratory AGS. Results indicate that the analyzing power, A, is rising sharply with P2∥.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87401/2/1123_1.pd

    A review on development and application of plant-based bioflocculants and grafted bioflocculants

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    Flocculation is extensively employed for clarification through sedimentation. Application of eco-friendly plant-based bioflocculants in wastewater treatment has attracted significant attention lately with high removal capability in terms of solids, turbidity, color, and dye. However, moderate flocculating property and short shelf life restrict their development. To enhance the flocculating ability, natural polysaccharides derived from plants are chemically modified by inclusion of synthetic, nonbiodegradable monomers (e.g., acrylamide) onto their backbone to produce grafted bioflocculants. This review is aimed to provide an overview of the development and flocculating efficiencies of plant-based bioflocculants and grafted bioflocculants for the first time. Furthermore, the processing methods, flocculation mechanism, and the current challenges are discussed. All the reported studies about plant-derived bioflocculants are conducted under lab-scale conditions in wastewater treatment. Hence, the possibility to apply natural bioflocculants in food and beverage, mineral, paper and pulp, and oleo-chemical and biodiesel industries is discussed and evaluated

    Atelier ORIXAS: Projeto Tripartite África/Brasil/França: luta contra a desertificação: promoção da segurança alimentar e redução da pobreza.

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    No âmbito do Programa de Cooperação Científica Tripartite entre a Agence Inter-établissements de Recherche pourle Développement (AIRD), Agence Panafricaine de la Grande Muraille Verte (APGMV) e o Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), o projeto ORIXAS "Observatórios Regionais Integrados de Regiões Árida, Semiáridas e Sub-úmidas secas" concebido em uma visão transversal, foca principalmente em metodologias e ferramentas para apoiar dispositivos de monitoramento ambiental para ser aplicado nos países inseridos na iniciativa africana Grande Muralha Verde - GMV (Burkina-Faso, Djibouti, Érythrée, Éthiopie, Mali, Mauritanie, Niger, Nigeria, Sénégal, Soudan, Tchad) e tem como objetivo desenvolver abordagens metodológicas e produtos compartilhados para melhorar a avaliação e monitoramento da desertificação e os impactos diretos ou indiretos de iniciativas para lutar contra o desmatamento e desertificação no âmbito da GMV. Esta publicação contempla aspectos metodológicos utilizados pelo projeto "ORIXAS" durante a primeira oficina de trabalho coletivo África-Brasil-França - Atelier (MAISON DE LA TÉLÉDÉTECTION), realizada de 10 a 19 de junho de 2014, em Montpellier França, objetivando informar a forma de execução dos estudos que vêm sendo realizados no escopo do projeto, visando principalmente a luta contra a desertificação, promoção da segurança alimentar e redução da pobreza nos países inseridos na iniciativa africana Grande Muralha Verde - GMV.bitstream/item/123193/1/DOC-174-Atelier-Orixas.pd

    Faixas normais de nutrientes em cana-de-açúcar pelos métodos ChM, DRIS e CND e nível crítico pela distribuição normal reduzida

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    Existem diversos métodos para a interpretação da diagnose foliar; o nível crítico ou as faixas de suficiência descritas na literatura são os mais utilizados. Porém, o uso de métodos de determinação de faixas normais de nutrientes que contemplam regiões específicas (localidades) aumenta a eficiência da interpretação. O objetivo deste trabalho foi determinar as faixas normais de nutrientes para a cultura da cana-de-açúcar, mediante a utilização dos métodos Chance Matemática (ChM), Sistema Integrado de Diagnose e Recomendação (DRIS) e Diagnose da Composição Nutricional (CND), além do Nível Crítico determinado pelo método de distribuição normal reduzida. O trabalho foi realizado tomando-se como base dados relativos a teores de nutrientes em amostras foliares e de produtividade de lavouras comerciais de cana-de-açúcar, localizadas no município de Campos de Goytacazes, RJ. Com o método da ChM, foram obtidas faixas de suficiência semelhantes aos métodos DRIS e CND, para N, Ca, S e Mn, enquanto para P, K, Mg, Cu e Zn os valores obtidos pela ChM foram superiores. A utilização dos métodos ChM, DRIS e CND, em lavouras comerciais de cana-de-açúcar em geral, possibilitou a obtenção de menor amplitude da faixa normal dos nutrientes, em comparação com os valores alcançados pelos métodos nível crítico e faixa de suficiência

    Integrating anaerobic digestion and pyrolysis for treating digestates derived from sewage sludge and fat wastes

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    P. 32603-32614The coupling of biological and thermal technologies allows for the complete conversion of wastes into energy and biochar eliminating the problem of sludge disposal. The valorisation of fatty residues as co-substrate in a mesophilic digester of a wastewater treatment plant was studied considering an integrated approach of co-digestion and pyrolysis. Four digested samples obtained from co-digestion of sewage sludge and butcher’s fat waste were studied by thermogravimetric analysis. The activation energy corresponding to the sludge pyrolysis was calculated by a non-isothermal kinetic. Arrhenius activation energy was lower for the pyrolysis of a digested grease sample (92 kJ mol−1 obtained by OFW and 86 kJ mol−1 obtained by Vyazovkin) than for the pyrolysis of sewage sludge and its blends (164–190 kJ mol−1 obtained by OFW and 162–190 kJ mol−1 obtained by Vyazovkin). The analysis of the integrated approach of anaerobic co-digestion and pyrolysis of digestates demonstrated that the addition of 3% (w/v) of fat to the feeding sludge results in a 25% increase in the electricity obtained from biogas (if a combined heat and power unit is considered for biogas valorisation) and increasing the fat content to 15% allows for covering all thermal needs for drying of digestate and more than doubles (2.4 times) the electricity production when the scenario of digestion and pyrolysis is contemplated.S
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